This is common for a distribution that is skewed to the right (that is, bunched up toward the left and with a "tail" stretching toward the right). Similarly, a distribution that is skewed to the left (bunched up toward the right with a "tail" stretching toward the left) typically has a mean smaller than its median.
Correspondingly, what is the definition of skewed to the right?
In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or undefined. The qualitative interpretation of the skew is complicated and unintuitive.
What does it mean if a distribution is positively skewed?
A distribution is negatively skewed, or skewed to the left, if the scores fall toward the higher side of the scale and there are very few low scores. In positively skewed distributions, the mean is usually greater than the median, which is always greater than the mode.
Is right skewed positive or negative?
A distribution is skewed if one of its tails is longer than the other. The first distribution shown has a positive skew. This means that it has a long tail in the positive direction. The distribution below it has a negative skew since it has a long tail in the negative direction.
You May Like Also